DarkCeldori
DarkCeldori t1_j6dz9cc wrote
Reply to comment by Molnan in Myth debunked: Myths about nanorobots by kalavala93
There have also been critiques of diamondoid nanomachines. For example from Richard Jones author of Soft Machines: Nanotechnology and Life.
In any case it is not like we need mechanical diamondoid arms to fix cells. Cells recycle individual molecular machines and organic molecular machines are capable enough to edit genes and fix dna.
Besides outside the brain you can carry wholesale cellular replacement and even wholesale tissue and organ replacement.
Also the diamondoid machines are likely highly susceptible to some types of radiation. A cosmic ray dislodging an atom will like gum up the gears. In space which is a high radiation environment the diamondoids are likely to breakdown by the millions.
I think they could work on specialized vacuum environment but like Jones I also suspect theyd have problems in environments like inside the human body.
In any case it is likely unevolvable molecular machines through advanced synthetic biology are just as capable if not even more capable than the theorized diamondoid machines.
DarkCeldori t1_j6dvyjm wrote
Reply to comment by [deleted] in Myth debunked: Myths about nanorobots by kalavala93
Yes but it is not like cells arent mechanical in nature. A cell is filled with molecular machines and with advanced synthetic biology it is possible to design the unevolvable.
For example cells can secrete proteins to nanostructure 3d inorganic substrates with unique properties, but nature only makes limited use of such. Humans can engineer novel proteins to create novel nanostructures for arbitrary purposes.
DarkCeldori t1_j6db3zz wrote
Reply to comment by PreferenceIll5328 in Why did 2003 to 2013 feel like more progress than 2013 to 2023? by questionasker577
Iirc only 25MB of design data for the brain lies in the genome that is insufficient to specify 100~trillion connections. Most of the brain particularly the neocortex appears to be a blank slate. Outside prewiring such as overall connectivity between areas it appears it is the learning algorithms that are the special sauce.
There are plenty of animals with as much baked in and they show very limited intelligence.
DarkCeldori t1_j6cxa7w wrote
Reply to comment by GoSouthYoungMan in Why did 2003 to 2013 feel like more progress than 2013 to 2023? by questionasker577
I don't think the brain's prowess lies in more effective compute but rather in its more efficient algorithms.
IIRC mimicking brain sparsity allowed ANN to get 10x to 100x more performance. And that is just one aspect of brain algos. https://youtu.be/XoP3dnvj4P0
DarkCeldori t1_j6bge0g wrote
Reply to comment by genshiryoku in Why did 2003 to 2013 feel like more progress than 2013 to 2023? by questionasker577
Moores law is about miniaturization of transistors and doubling of transistor count. It is true we also used to get significant clock speed increases that we no longer do. But moores law didnt stop it only slowed down from every 18 months to every 2.5 years or something like that this happened last decade as a result of constant delays in the development of extreme ultraviolet lithography equipment but that is now solved and it is back to every 18 months iirc.
But thanks to moores law and koomeys law continuing we have seen constant increases in energy efficiency and computational power.
We are indeed facing some significant issues still some parts such as sram which is vital for cache sizes iirc have stopped scaling. Also it seems the reduction in cost per transistor has slowed or perhaps even ended recently. Microsoft estimated they wouldnt get cost reduction from moving to newer smaller transistors and thus chose to do two versions of xbox a cheap and an expensive one from the start.
If cost reduction is not solved we could be in serious trouble. As clearly a doubling of transistors requires at least a halving of transistor cost to be viable.
DarkCeldori t1_j6beu4r wrote
Reply to comment by Phoenix5869 in Why did 2003 to 2013 feel like more progress than 2013 to 2023? by questionasker577
What are you talking about? Ca akg preliminary data appears to show it reverses epigenetic age by years, and epigenetic changes appear to be the cause of aging. Resveratrol basically halts age related changes in gene expression in the heart, keeping it young indefinitely.
Sinclair is bringing blindness treatment to clinical trials within 1 or 2 years iirc.
Alzheimer progress was halted by melatonin in one case study in another it also halted parkinsons. Regrowth of teeth is already in animal trials. As for organs it is likely we can use embryonic development for that and do humanized chimeras in pigs, the research is already quite advanced.
Cancer within years a company doing transfusions from cancer immune humans to normal humans will bring a product to market. There are also nanoparticle sponges from another company that appears highly effective.
True nanobots are likely to be the result of advanced synthetic biology using unevolvable designs. Recently ai has allowed for zinc finger design which will enable the edition of the genome at arbitrary points greatly accelerating progress. Also ai has beem able to predict many existing proteins and design novel ones with novel functions iirc just exactly what we need for nanobots.
DarkCeldori t1_j6bdehu wrote
Reply to comment by visarga in Why did 2003 to 2013 feel like more progress than 2013 to 2023? by questionasker577
Food can still be improved. Bread and fruit that remains good for months or years. Also polyphenol content can be increased and sugars replaced with natural zero calorie sweeteners through genetic engineering. Animals could be modified to be high in healthier monounsaturated fat rather than saturated fat.
As for ai there are technologies such as robots and humanoid biodroids that are possible also full immersion vr through connections to the brain. Enabling regeneration curing cancer and aging. Allowing for brain transplants. Also true nanomachine tech, appliances and devices made with true nanomachine tech can self repair self clean and can last for billions of years if they have energy provided.
DarkCeldori t1_j6bc0b8 wrote
Reply to comment by genshiryoku in Why did 2003 to 2013 feel like more progress than 2013 to 2023? by questionasker577
The brain can learn even with few data. A baby that grows in a mostly empty room and hears his parents voices still becomes fully competent within a few years.
If ai begins to use brain like algorithms given it does millions of years of training, data will not be a problem.
DarkCeldori t1_j5o4z0q wrote
Vernor Vinge said he'd be surprised if singularity didnt occur before 2030. We are in the knee of the curve, whats to come in years ahead will be mindblowing. Wouldnt surprise if physical is also made obsolete soon too.
FIRE(financial independence retire early) seems a must, assuming stocks manage to retain value in the transition to the posthuman world. But it is possible we are going postscarcity and you only need cover the cost of living till the transition.
DarkCeldori t1_j0oalo1 wrote
Reply to comment by TrainquilOasis1423 in When AI automates all the jobs what are you going to do with your life? by TrainquilOasis1423
Ongoing: My wife is the demon queen
Complete: Noblesse, Berserk, Nausicaa, Battle Angel Alita, Akira
DarkCeldori t1_j0nlday wrote
Reply to When AI automates all the jobs what are you going to do with your life? by TrainquilOasis1423
Eat unlimited vr food vr sodas vr sweets.
F sexbots.
Continue learning and reading manga.
DarkCeldori t1_ivgnyd2 wrote
Reply to comment by LordOfGalaxy in [D] At what tasks are models better than humans given the same amount of data? by billjames1685
We also have to remember the brain has very sparse activity. IIRC on the order of 2% activity. Also most of the neurons are on the cerebellum, and humans without cerebellum still have general intelligence albeit with some difficulty with precise motion. The neocortex only has about 16Billion neurons and it is here that general intelligence occurs. That brings the 100POPs down to 16POPs times 0.02% activity = 320TOPS.
DarkCeldori t1_ivdgoim wrote
Reply to comment by Dat_Innocent_Guy in Progenitor cells and reversing aging by Homie4-2-0
Sexbots.
DarkCeldori t1_ivdg0hc wrote
Reply to comment by apple_achia in In the face on the Anthropocene by apple_achia
True Nanotech
DarkCeldori t1_ivcsuvd wrote
The thing is we've had lots of advances in the fight against aging. We've discovered stuff like metformin, akg, melatonin, nad+ boosters, sirtuin activators. We've even discovered that some of the yamanaka factors can be used to rejuvenate the epigenome all the way if needed.
Right now preliminary studies in rodents seem to show promise for astaxanthin too.
If you go by Aubrey De Grey's notions of aging, it would be extremely difficult for a monkey to double lifespan or for a human to double lifespan. Yet we've seen that it is likely our common ancestor with monkeys had monkey like lifespan, and a few minor tweaks tripled lifespan in humans. The changes were easy not uber herculean engineering feats as Aubrey supposes. Analysis of the genomes of even longer lived mammals like Bowhead whales show lack of many of the engineering suggestions of SENS in their genome.
Again the longer lived a species is, the fewer mutations or changes are likely needed to make it an ageless, or biologically immortal species. Humans are pretty long lived already. An intervention that doubles or triples lifespan in a shorter lived organism, might actually make humans ageless or biologically immortal. This might only need be a cocktail of a few drugs and nutraceuticals.
DarkCeldori t1_iqzligv wrote
Reply to comment by ace111L in AI Generated Movies/TV by fignewtgingrich
Depends on what you mean by creativity.
Creativity seems to be just taking or selecting meaningful and significant output from random combinations of learned material. And even current ais can do that to limited extent.
Future systems like gpt4 are likely to do so even better.
DarkCeldori t1_j8cz4sg wrote
Reply to comment by WithoutReason1729 in This is Revolutionary?! Amazon's 738 Million(!!!) parameter's model outpreforms humans on sience, vision, language and much more tasks. by Ok_Criticism_1414
While on the topic of consumer h/w, ryzen ai xdna seems promising, as itll be able to easily make use of main system memory which will soon be able to easily reach 256GB. That can fit very large models and inference is usually far less computationally intensive than training.